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8th IFIP International Conference on Intelligent information processing, IIP 2014

作者： Jiang, Ping Dou, Quansheng School of Computer Science and Technology Shandong Institute of Business and Technology Laishan Yantai264005 China Key Laboratory of Intelligent Information Processing in Universities of Shandong Shandong Institute of Business and Technology Laishan Yantai264005 China

ISBN: (纸本)9783662449790

This paper presents a method for automated localization and accurate segmentation of the optic disc. An intensity threshold is determined and select all the pixels whose intensities are greater than the threshold, by erosion the optic disc can be localized. By dilation and region filling, a minimum enclosing circle which can completely hold the optic disc is determined, within the circle, the vessels are eliminated by replacing the darker vessel pixels with brighter pixels. Define the intensity features of the optic disc boundary , and select the pixels according to the features, then the optic disc may be segmented. The experiment shows that compared to the active contour models, this method is more efficient and accurate on the boundary extraction of the optic disc. © IFIP International Federation for information processing 2014.

关键词： Pixels

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A heterogeneous graph model for social opinion detection 13

A heterogeneous graph model for social opinion detection

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13th International Conference on Machine Learning and Cybernetics, ICMLC 2014

作者： Liao, Xiangwen Huang, Yichao Wei, Jingjing Yu, Zhiyong Chen, Guolong College of Mathematics and Computer Science Fuzhou University Fuzhou350116 China College of Physics and Information Engineering Fuzhou University Fuzhou350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China

ISBN: (纸本)9783662456514

Microblogging services, such as Twitter, have become popular for people to share their opinions towards a broad range of topics. It is a great challenge to get an overview of some important topics by reading all tweets every day. Previous researches such as opinion detection and opinion summarization have been studied for this problem. However, these works mainly focus on the content of text without taking the quality of short text and features of social media into consideration. In this paper, we propose a heterogeneous graph model for users’ opinion detection on microblog. We first extract keywords of topics. Then, a three-level microblog graph is constructed by combining user influence, word importance, post significance, and topic periodicity. Microblog posts are ranked from different topics by using the random walk algorithm. Experimental results on real a dataset validate the effectiveness of our approach. In comparison with baseline approaches, the proposed method achieves 8% improvement. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Random processes

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Ranking based activity trajectory search

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8786卷 170-185页

作者： Chen, Wei Zhao, Lei Jiajie, Xu Zheng, Kai Zhou, Xiaofang School of Computer Science and Technology Soochow University China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University China School of ITEE The University of Queensland Brisbane Australia

With the proliferation of the GPS-enabled devices and mobile techniques, there has been a lot of work on trajectory search in the last decade. Previous trajectory search has focused on spatio-temporal features and text descriptions. Different from them, we study a novel problem of searching trajectories with activities and corresponding ranking information. Given a query q, which is attached with a set of activities and a threshold of distance, the results of ranking based activity trajectory search (RTS) are k trajectories such that the given activities are performed with the highest ranking within the threshold of distance. In addition, we also extend the query with an order, i.e., order-sensitive ranking based activity trajectory search (ORTS), which takes both the order of activities in a query q and the order of trajectories into account. It is challenging to answer RTS and ORTS efficiently due to the structural complexity of trajectory data with ranking information. In this paper, a hybrid index AC-tree and its optimized variant RAC-tree are proposed to achieve higher efficiency. Extensive experiments verify the high efficiency and scalability of the proposed algorithms. © Springer International Publishing Switzerland 2014.

关键词： Trajectories

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

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NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

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On string languages generated by sequential spiking neural P systems based on maximum spike number 1

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13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014

作者： Jiang, Keqin Zhang, Yuzhou Pan, Linqiang Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Computer and Information Anqing Normal University Anqing 246133 Anhui China

ISBN: (数字)9783319081236

ISBN: (纸本)9783319081229

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we consider SN P systems with the restriction: at each step the neuron with the maximum number of spikes among the neurons that can spike will fire (if there is a tie for the maximum number of spikes stored in the active neurons, only one of the neurons containing the maximum is chosen non-deterministically). We investigate the computational power of such sequential SN P systems that are used as language generators. We prove that recursively enumerable languages can be characterized as projections of inverse-morphic images of languages generated by that sequential SN P systems. The relationships of the languages generated by these sequential SN P systems with finite and regular languages are also investigated. © 2014 Springer International Publishing Switzerland.

关键词： Neurons

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Design of information disclosure platform in engineering based on reliability model

Design of information disclosure platform in engineering bas...

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4th International Conference on Materials Science and information technology, MSIT 2014

作者： Meng, Qing Feng Feng, Zheng Qian Li, Zhao Hao, Sheng G. Shandong Computer Science Center Shan Dong E-cloud Information Technology Co. Ltd Jinan 250000 China Department of Shandong Provincial Key Laboratory of computer Network Shandong Computer Science Center Jinan 250000 China

ISBN: (纸本)9783038351733

This paper presents a public information platform based on reliability coefficient for information disclosure process in construction field. In this platform, we constructed a model of enterprise reliability coefficient and enterprise credit evaluation system, unified credit standards of Shandong Province in the construction industry sectors. Meanwhile, we adopt flexible workflow to definite workflow model of public information platform and using SOA architecture which is service-oriented and object-oriented programming ideas to realize the entire system. Finally, the article analyzes the public information platform in the field of engineering construction in Shandong province, and after the test run, the results show that the system has better scalability, stability and high security. © (2014) Trans Tech Publications, Switzerland.

关键词： Reliability

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A three-dimension localization algorithm forwireless sensor network mobile nodes based on double-layers BP neural network

A three-dimension localization algorithm forwireless sensor ...

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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Yuming, Mao Yinglong, Wang College of Information Science and Engineering Shandong University of Science and Technology Qingdao China College of Information Science and Electrical Engineering Shandong Jiaotong University Jinan China Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center Jinan China

ISBN: (纸本)9783642406393

The paper presents a three-dimensional localization algorithm for wireless sensor network (WSN) mobile nodes based on double-layers BP neural network. The main contribution of the paper is that using the trained double-layers BP neural network and the received signal strength indicator at the unknown point as the input data to Locating the mobile node. According to the result, the average relative error of the algorithm based on double-layers BP neural network is 6.65 %, and themethod has fast processing speed and high precision, and it can provide availability and exact data for WSN. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Sensor nodes

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Research on improved coding and decoding algorithm for fountain codes

Research on improved coding and decoding algorithm for fount...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Zhifeng Zhu Liulei Zhou Jia Hou School of Electronics and Information Engineering Soochow University Jiangsu China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu China

ISBN: (纸本)9781479973408

Fountain code is a class of graph-based linear erasure codes, which can effectively solve the problems such as network congestion and feedback cracking for its characteristics of rateless and can resume when interrupted, and has a lower complexity of encoding and decoding. However, there are still some problems in the process of encoding and decoding, including the degree distribution structure may be destroyed, parameters of the generating matrix are not fixed, and it cannot recover source datas from the remaining encoded packets with no degree one. So, the basic theory of fountain codes from three aspects are introduced in this paper, i.e., degree distribution, encoding and decoding principles. Therefore the improved algorithms according to the above three aspects are presented. Simulation results show that the proposed algorithm is more efficient than the previous one.

关键词： Decoding Encoding Algorithm design and analysis Solitons Robustness Vectors Signal processing algorithms

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Identification of DNA-binding proteins by auto-cross covariance transformation

Identification of DNA-binding proteins by auto-cross covaria...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Qiwen Dong Shanyi Wang Kai Wang Xuan Liu Bin Liu School of Computer Science Fudan University Shanghai People's Republic of China Shanghai Key Laboratory of Intelligent Information Processing Shanghai People's Republic of China School of Computer Science and Technology Shenzhen Graduate School Shenzhen Guangdong People's Republic of China College of Animal Science and technology Jilin Agricultural University Changchun People's Republic of China College of Engineering Shanghai Ocean University Shanghai People's Republic of China

DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique, the number of protein sequences are unprecedentedly increasing. Thus it is necessary to develop computational methods to identify the DNA-binding protein from the protein sequence information. In this study, a novel method is presented which combines the support vector machine and the auto-cross covariance transformation. The protein sequence represented in the form of amino acids or the physical-chemical properties of amino acids are converted into a series of fixed-length vectors by Kmer composition and the auto-cross covariance transformation. The sequence order effect can be effectively capture by this scheme. These vectors are then inputted to support vector machine to discriminate the DNA-binding proteins from the non DNA-binding ones. The proposed method achieves the overall accuracy of 75.23% and Matthew correlation coefficient of 0.5 by a rigorous jackknife test. The independent test shows that the proposed method outperforms most of the existing methods. These results demonstrate that the proposed method provides the state-of-the-art performance for the prediction of DNA-binding proteins.

关键词： Proteins DNA

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Location-Aware Multi-user Resource Allocation in Distributed Clouds

Location-Aware Multi-user Resource Allocation in Distributed...

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10th Annual Conference of Advanced computer Architecture, ACA 2014

作者： Li, Jiaxin Li, Dongsheng Zheng, Jing Quan, Yong National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Information Center of Logistics Department Beijing China School of Computer Science National University of Defense Technology Changsha China

ISBN: (纸本)9783662444900

Resource allocation for multi-user across multiple data centers is an important problem in cloud computing environments. Many geographically-distributed users may request virtualized resources simultaneously. And the distances from users to allocated resources have much impact on the quality of service (QoS) in multiple data centers environment. Most existing methods do not take all these factors into account when allocating resources. They usually result in poor runtime performance of users' virtual computing environment and the remarkable difference of users' QoS. In this paper, we propose RAMD, a resource allocation algorithm based on multi-stage decision in multiple data centers. The RAMD algorithm allocate VMs to users, taking into account the correlation and interaction between multiple users, so as to minimize the sum of all users' service distances (i.e. determined by user location and network distance of virtual machines). Experimental results show that the algorithm can effectively deal with the cloud resource allocation for multi-user across multiple data centers. It can improve the runtime performance of users' virtualized resources and reduce the difference of QoS. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Resource allocation

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